6 papers · 1 filter
DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation
Varun Gopal, Rishabh Jain, Aradhya Mathur +6
Graphic layouts serve as an important and engaging medium for visual communication across different channels. While recent layout generation models have demonstrated impressive cap…
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
Nikitha SR, Aradhya Neeraj Mathur, Tarun Ram Menta +2
The integration of high-resolution image features in modern multimodal large language models has demonstrated significant improvements in fine-grained visual understanding tasks, a…
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
Phu Pham, Aradhya N. Mathur, Ojaswa Sharma +1
The field of text-to-3D content generation has made significant progress in generating realistic 3D objects, with existing methodologies like Score Distillation Sampling (SDS) offe…
Curvy: A Parametric Cross-section based Surface Reconstruction
Aradhya N. Mathur, Apoorv Khattar, Ojaswa Sharma
In this work, we present a novel approach for reconstructing shape point clouds using planar sparse cross-sections with the help of generative modeling. We present unique challenge…
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
Aradhya N. Mathur, Phu Pham, Aniket Bera +1
3D generation has rapidly accelerated in the past decade owing to the progress in the field of generative modeling. Score Distillation Sampling (SDS) based rendering has improved 3…
LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar +2
In this work, we explore a new problem of frame interpolation for speech videos. Such content today forms the major form of online communication. We try to solve this problem by us…